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  <h3><a href="contents.html">Table of Contents</a></h3>
  <ul>
<li><a class="reference internal" href="#">About NumPy</a><ul>
<li><a class="reference internal" href="#numpy-community">NumPy community</a></li>
</ul>
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<li><a class="reference internal" href="#about-this-documentation">About this documentation</a><ul>
<li><a class="reference internal" href="#conventions">Conventions</a></li>
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  <div class="section" id="about-numpy">
<h1>About NumPy<a class="headerlink" href="#about-numpy" title="Permalink to this headline">¶</a></h1>
<p>NumPy is the fundamental package
needed for scientific computing with Python. This package contains:</p>
<ul class="simple">
<li><p>a powerful N-dimensional <a class="reference internal" href="reference/arrays.html#arrays"><span class="std std-ref">array object</span></a></p></li>
<li><p>sophisticated <a class="reference internal" href="reference/ufuncs.html#ufuncs"><span class="std std-ref">(broadcasting) functions</span></a></p></li>
<li><p>basic <a class="reference internal" href="reference/routines.linalg.html#routines-linalg"><span class="std std-ref">linear algebra functions</span></a></p></li>
<li><p>basic <a class="reference internal" href="reference/routines.fft.html#routines-fft"><span class="std std-ref">Fourier transforms</span></a></p></li>
<li><p>sophisticated <a class="reference internal" href="reference/random/index.html#numpyrandom"><span class="std std-ref">random number capabilities</span></a></p></li>
<li><p>tools for integrating Fortran code</p></li>
<li><p>tools for integrating C/C++ code</p></li>
</ul>
<p>Besides its obvious scientific uses, <em>NumPy</em> can also be used as an
efficient multi-dimensional container of generic data. Arbitrary
data types can be defined. This allows <em>NumPy</em> to seamlessly and
speedily integrate with a wide variety of databases.</p>
<p>NumPy is a successor for two earlier scientific Python libraries:
Numeric and Numarray.</p>
<div class="section" id="numpy-community">
<h2>NumPy community<a class="headerlink" href="#numpy-community" title="Permalink to this headline">¶</a></h2>
<p>NumPy is a distributed, volunteer, open-source project. <em>You</em> can help
us make it better; if you believe something should be improved either
in functionality or in documentation, don’t hesitate to contact us — or
even better, contact us and participate in fixing the problem.</p>
<p>Our main means of communication are:</p>
<ul class="simple">
<li><p><a class="reference external" href="https://scipy.org/">scipy.org website</a></p></li>
<li><p><a class="reference external" href="https://scipy.org/scipylib/mailing-lists.html">Mailing lists</a></p></li>
<li><p><a class="reference external" href="https://github.com/numpy/numpy/issues">NumPy Issues</a> (bug reports go here)</p></li>
<li><p><a class="reference external" href="http://projects.scipy.org/numpy">Old NumPy Trac</a> (dead link)</p></li>
</ul>
<p>More information about the development of NumPy can be found at our <a class="reference external" href="https://scipy.scipy.org/scipylib/dev-zone.html">Developer Zone</a>.</p>
<p>The project management structure can be found at our <a class="reference internal" href="dev/governance/index.html"><span class="doc">governance page</span></a></p>
</div>
</div>
<div class="section" id="about-this-documentation">
<h1>About this documentation<a class="headerlink" href="#about-this-documentation" title="Permalink to this headline">¶</a></h1>
<div class="section" id="conventions">
<h2>Conventions<a class="headerlink" href="#conventions" title="Permalink to this headline">¶</a></h2>
<p>Names of classes, objects, constants, etc. are given in <strong>boldface</strong> font.
Often they are also links to a more detailed documentation of the
referred object.</p>
<p>This manual contains many examples of use, usually prefixed with the
Python prompt <code class="docutils literal notranslate"><span class="pre">&gt;&gt;&gt;</span></code> (which is not a part of the example code). The
examples assume that you have first entered:</p>
<div class="highlight-default notranslate"><div class="highlight"><pre><span></span><span class="gp">&gt;&gt;&gt; </span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
</pre></div>
</div>
<p>before running the examples.</p>
</div>
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